Yaohua Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Identification of Pandemic Risk for Avian Influenza Virus With Graph Cross Attention Networks.
IEEE J. Biomed. Health Informatics, May, 2026

Large Language Models as Amortized Pareto-Front Generators for Constrained Bi-Objective Convex Optimization.
CoRR, May, 2026

Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2026

PHANTOM Hand.
CoRR, March, 2026

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering.
CoRR, February, 2026

A Low-Cost Vision-Based Tactile Gripper with Pretraining Learning for Contact-Rich Manipulation.
CoRR, February, 2026

CoFreeVLA: Collision-Free Dual-Arm Manipulation via Vision-Language-Action Model and Risk Estimation.
CoRR, January, 2026

Abstracting Robot Manipulation Skills via Mixture-of-Experts Diffusion Policies.
CoRR, January, 2026

Spiking Neural-Invariant Kalman Fusion for Accurate Localization Using Low-Cost IMUs.
CoRR, January, 2026

A brain-inspired information fusion method for enhancing robot GPS outages navigation.
CoRR, January, 2026

SNOC: Subtle Nested Objective Configuration for Joint Ultra-Low-Light Enhancement and Super-Resolution.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
Learning to Evolve with Convergence Guarantee via Neural Unrolling.
CoRR, December, 2025

Predictive power of combined inflammatory markers and magnetic resonance imaging features for glioma grading using machine learning: a retrospective study.
BMC Medical Imaging, December, 2025

AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

Observation-Graph Interaction and Key-Detail Guidance for Vision and Language Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
Collaborative brightening and amplification of low-light imagery via bi-level adversarial learning.
Pattern Recognit., 2024

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model.
CoRR, 2024

Enhancing Images with Coupled Low-Resolution and Ultra-Dark Degradations: A Tri-level Learning Framework.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
3D interest point detection using balance-distortion oriented selection.
Vis. Comput., February, 2023

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness.
CoRR, 2023

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments.
CoRR, 2023

Fuse Tune: Hierarchical Decoder Towards Efficient Transfer Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity.
Proceedings of the International Conference on Machine Learning, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope.
Frontiers Neurorobotics, September, 2022

Byzantine-Resilient Resource Allocation Over Decentralized Networks.
IEEE Trans. Signal Process., 2022

DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications.
IEEE Trans. Neural Networks Learn. Syst., 2022

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining.
IEEE Trans. Image Process., 2022

Efficient Cavity Searching for Gene Network of Influenza A Virus.
CoRR, 2022

LGC-Net: A Lightweight Gyroscope Calibration Network for Efficient Attitude Estimation.
CoRR, 2022

Byzantine-Resilient Decentralized Resource Allocation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Novel Sensor Fusion Method Based on Invariant Extended Kalman Filter for Unmanned Aerial Vehicle.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

A Novel Hybrid Attitude Fusion Method Based on LSTM Neural Network for Unmanned Aerial Vehicle.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020
Communication-Censored Linearized ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2020

2019
A unified framework for interactive image segmentation via Fisher rules.
Vis. Comput., 2019

Communication-Censored ADMM for Decentralized Consensus Optimization.
IEEE Trans. Signal Process., 2019

Learning What and Where from Attributes to Improve Person Re-Identification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

COLA: Communication-censored Linearized ADMM for Decentralized Consensus Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Volumetric Data Exploration with Machine Learning-Aided Visualization in Neutron Science.
Proceedings of the Advances in Computer Vision, 2019

Decentralized Dynamic ADMM with Quantized and Censored Communications.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Computer Vision-aided Atom Tracking in STEM Imaging.
CoRR, 2018

Discovering Features in Sr<sub>14</sub>Cu<sub>24</sub>O<sub>41</sub> Neutron Single Crystal Diffraction Data by Cluster Analysis.
CoRR, 2018

Attitude Estimation of Unmanned Aerial Vehicle Based on LSTM Neural Network.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

COCA: Communication-Censored ADMM for Decentralized Consensus Optimization.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Asynchronous periodic event-triggered coordination of multi-agent systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Weighted ADMM for Fast Decentralized Network Optimization.
IEEE Trans. Signal Process., 2016

Communication-efficient weighted ADMM for decentralized network optimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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